SinGAN-Labeler: An Enhanced SinGAN for Generating Marine Oil Spill SAR Images with Labels
Deep learning-based SAR oil spill detection faces significant challenges due to limited labeled training data. To address this, we propose SinGAN-Labeler, an enhanced framework that generates high-quality synthetic SAR oil spill images and their labels from minimal input. The model integrates an ada...
Збережено в:
| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-02-01
|
| Серія: | Journal of Marine Science and Engineering |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2077-1312/13/3/422 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|